آمار

تعداد نشریات32
تعداد شماره‌ها496
تعداد مقالات4,413
تعداد مشاهده مقاله7,610,084
تعداد دریافت فایل اصل مقاله5,115,554
Behzadi, S., Bagheri, A., Rabiee, A.. (1403). Resilience-Oriented Operation of Micro-Grids in both Grid-Connected and Isolated Conditions within Sustainable Active Distribution Networks. سامانه مدیریت نشریات علمی, 13(1), 38-51. doi: 10.22098/joape.2023.12142.1902
S. Behzadi; A. Bagheri; A. Rabiee. "Resilience-Oriented Operation of Micro-Grids in both Grid-Connected and Isolated Conditions within Sustainable Active Distribution Networks". سامانه مدیریت نشریات علمی, 13, 1, 1403, 38-51. doi: 10.22098/joape.2023.12142.1902
Behzadi, S., Bagheri, A., Rabiee, A.. (1403). 'Resilience-Oriented Operation of Micro-Grids in both Grid-Connected and Isolated Conditions within Sustainable Active Distribution Networks', سامانه مدیریت نشریات علمی, 13(1), pp. 38-51. doi: 10.22098/joape.2023.12142.1902
Behzadi, S., Bagheri, A., Rabiee, A.. Resilience-Oriented Operation of Micro-Grids in both Grid-Connected and Isolated Conditions within Sustainable Active Distribution Networks. سامانه مدیریت نشریات علمی, 1403; 13(1): 38-51. doi: 10.22098/joape.2023.12142.1902

Resilience-Oriented Operation of Micro-Grids in both Grid-Connected and Isolated Conditions within Sustainable Active Distribution Networks

Journal of Operation and Automation in Power Engineering
مقاله 4، دوره 13، شماره 1، فروردین 2025، صفحه 38-51    اصل مقاله (1.37 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.12142.1902
نویسندگان
S. Behzadi؛ A. Bagheri* ؛ A. Rabiee
Department of Electrical Engineering, University of Zanjan, Zanjan, Iran
چکیده
Due to the increasing occurrence of natural disasters, importance of maintaining sustainable energy for cities and society is felt more than ever. On the other hand, power loss reduction is a challenging issue of active distribution networks (ADNs). Therefore, the distribution network operators (DNOs) should have a certain view on these two problems in today’s smart grids. In this paper, a new convex optimization model is proposed with two objective functions including energy loss reduction in normal operating mode and system load shedding minimization in critical conditions after the occurrence of natural disasters. This purpose is fulfilled through optimal allocation of distributed generation (DG) units from both conventional and renewable types as well as energy storage systems (ESSs). In addition, a new formulation has been derived to form optimal micro-grids (MGs) aiming at energy loss reduction in normal operating condition and resiliency index improvement under emergency situations. The developed model is implemented in GAMS software and the studies have been tested and analyzed on the IEEE 33-bus system. The results verify the effectiveness of the proposed method in terms of energy loss reduction as well as resilience enhancement in extreme operation condition following severe disruptions in the system.
کلیدواژه‌ها
ADN؛ Distributed energy resources؛ Micro-grid formation؛ Reconfiguration؛ Resiliency
مراجع
  1. A. Gilani, A. Kazemi, and M. Ghasemi, “Distribution system resilience enhancement by microgrid formation considering distributed energy resources,” Energy, vol. 191, p. 116442, 2020.
  2. Abessi, S. Jadid, and M. Salama, “A new model for a resilient distribution system after natural disasters using microgrid formation and considering ice cars,” IEEE Access, vol. 9, pp. 4616–4629, 2020.
  3. Dizaji, M. Saniei, and K. Zare, “Resilient operation scheduling of microgrid using stochastic programming considering demand response and electric vehicles,” J. Oper. Autom. Power Eng., vol. 7, pp. 157–67, 2019.
  4. Gritzalis, M. Theocharidou, and G. Stergiopoulos, “Critical infrastructure security and resilience,” Springer Sci. Rev., vol. 10, pp. 978–3, 2019.
  5. Taheri and A. Safdarian, “Tie-line planning for resilience enhancement in unbalanced distribution networks,” IET Gener. Transm. Distrib., vol. 16, no. 5, pp. 1030–1046, 2022.
  6. Wang, P. Ju, F. Wu, X. Pan, and Z. Wang, “A systematic review on power system resilience from the perspective of generation, network, and load,” Renew. Sustain. Energy Rev., vol. 167, p. 112567, 2022.
  7. Salehi, F. Gazijahani, and A. Safari, “Stochastic simultaneous planning of interruptible loads, renewable generations and capacitors in distribution network,” J. Oper. Autom. Power Eng., vol. 10, no. 2, pp. 113–121, 2022.
  8. Meera and S. Hemamalini, “Reliability assessment and enhancement of distribution networks integrated with renewable distributed generators: A review,” Sustain. Energy Technol. Assess., vol. 54, p. 102812, 2022.
  9. Zare-Bahramabadi, M. Ehsan, and H. Farzin, “A riskbased dispatchable distributed generation unit and tie line planning framework to improve the resilience of distribution systems,” Sustain. Energy, Grids Netw., vol. 32, p. 100933, 2022.
  10. Hemmati, H. Mehrjerdi, and S. M. Nosratabadi, “Resilience-oriented adaptable microgrid formation in integrated electricity-gas system with deployment of multiple energy hubs,” Sustain. Cities Soc., vol. 71, p. 102946, 2021.
  11. A. Quadri, S. Bhowmick, and D. Joshi, “A comprehensive technique for optimal allocation of distributed energy resources in radial distribution systems,” Appl. Energy, vol. 211, pp. 1245–1260, 2018.
  12. -A. Hamidan and F. Borousan, “Optimal planning of distributed generation and battery energy storage systems simultaneously in distribution networks for loss reduction and reliability improvement,” J. Energy Storage, vol. 46, p. 103844, 2022.
  13. T. G. Jahani, P. Nazarian, A. Safari, and M. Haghifam, “Multi-objective optimization model for optimal reconfiguration of distribution networks with demand response services,” Sustain. Cities Soc., vol. 47, p. 101514, 2019.
  14. Sandhya and K. Chatterjee, “A review on the state of the art of proliferating abilities of distributed generation deployment for achieving resilient distribution system,” J. Clean. Prod., vol. 287, p. 125023, 2021.
  15. Hooshmand, A. Rabiee, S. Jalilzadeh, and A. Soroudi, “Optimal flexibility coordination for energy procurement in distribution networks,” IET Renew. Power Gener., vol. 15, no. 6, pp. 1191–1203, 2021.
  16. Hooshmand and A. Rabiee, “Energy management in distribution systems, considering the impact of reconfiguration, ress, esss and dr: A trade-off between cost and reliability,” Renew. Energ., vol. 139, pp. 346–358, 2019.
  17. S. Khomami, K. Jalilpoor, M. T. Kenari, and M. S. Sepasian, “Bi-level network reconfiguration model to improve the resilience of distribution systems against extreme weather events,” IET Gener. Transm. Distrib., vol. 13, no. 15, pp. 3302–3310, 2019.
  18. Mousavizadeh, M.-R. Haghifam, and M.-H. Shariatkhah, “A linear two-stage method for resiliency analysis in distribution systems considering renewable energy and demand response resources,” Appl. Energy, vol. 211, pp. 443–460, 2018.
  19. Gao, Y. Chen, Y. Xu, and C.-C. Liu, “Resilience-oriented critical load restoration using microgrids in distribution systems,” IEEE Trans. Smart Grid, vol. 7, no. 6, pp. 2837– 2848, 2016.
  20. Chen, J. Wang, F. Qiu, and D. Zhao, “Resilient distribution system by microgrids formation after natural disasters,” IEEE Trans. Smart Grid, vol. 7, no. 2, pp. 958–966, 2015.
  21. Zhu, Y. Yuan, and W. Wang, “An exact microgrid formation model for load restoration in resilient distribution system,” Int. J. Electr., vol. 116, p. 105568, 2020.
  22. E. Baran and F. F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing,” IEEE Trans. Power Deliv., vol. 4, no. 2, pp. 1401–1407, 1989.
  23. Khalili, M. T. Hagh, S. G. Zadeh, and S. Maleki, “Optimal reliable and resilient construction of dynamic self-adequate multi-microgrids under large-scale events,” IET Renew. Power Gener., vol. 13, no. 10, pp. 1750–1760, 2019.
  24. Baghbanzadeh, J. Salehi, F. S. Gazijahani, M. Shafie-khah, and J. P. Catalão, “Resilience improvement of multi-microgrid distribution networks using distributed generation,” Sustain. Energy, Grids Netw., vol. 27, p. 100503, 2021.
  25. Ebadat-Parast, M. H. Nazari, and S. H. Hosseinian, “Distribution system resilience enhancement through resilience-oriented optimal scheduling of multi-microgrids considering normal and emergency conditions interlink utilizing multi-objective programming,” Sustain. Cities Soc., vol. 76, p. 103467, 2022.
  26. Kim and Y. Dvorkin, “Enhancing distribution system resilience with mobile energy storage and microgrids,” IEEE Trans. Smart Grid, vol. 10, no. 5, pp. 4996–5006, 2018.
  27. Lavorato, J. F. Franco, M. J. Rider, and R. Romero, “Imposing radiality constraints in distribution system optimization problems,” IEEE Trans. Power Deliv., vol. 27, no. 1, pp. 172–180, 2011.
  28. A. Evangelopoulos and P. S. Georgilakis, “Optimal distributed generation placement under uncertainties based on point estimate method embedded genetic algorithm,” IET Gener. Transm. Distrib., vol. 8, no. 3, pp. 389–400, 2014.
  29. Akhlaghi, Z. Moravej, and A. Bagheri, “Maximizing wind energy utilization in smart power systems using a flexible network-constrained unit commitment through dynamic lines and transformers rating,” Energy, vol. 261, p. 124918, 2022.
  30. Kayal and C. Chanda, “Optimal mix of solar and wind distributed generations considering performance improvement of electrical distribution network,” Renew. Energ., vol. 75, pp. 173–186, 2015.
آمار
تعداد مشاهده مقاله: 1,600
تعداد دریافت فایل اصل مقاله: 1,020


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب